期刊
BRAIN TOPOGRAPHY
卷 32, 期 1, 页码 80-86出版社
SPRINGER
DOI: 10.1007/s10548-018-0672-5
关键词
Resting-state fMRI; Metastability; Human Connectome Project; Canonical correlation analysis; Body mass index
资金
- National Institutes of Health [R01 MH104284-01A1]
- European Unit FP7 program (IMAging GEnetics for MENtal Disorders) [IMAGEMEND 602450]
- Swiss National Science Foundation [P2GEP3_162104, P300PB_171584]
- [1U54MH091657]
- Swiss National Science Foundation (SNF) [P300PB_171584, P2GEP3_162104] Funding Source: Swiss National Science Foundation (SNF)
Metastability is currently considered a fundamental property of the functional configuration of brain networks. The present study sought to generate a normative reference framework for the metastability of the major resting-state networks (RSNs) (resting-state metastability dataset) and discover their association with demographic, behavioral, physical and cognitive features (non-imaging dataset) from 818 participants of the Human Connectome Project. Using sparse canonical correlation analysis, we found that the metastability and non-imaging datasets showed significant but modest interdependency. Notable associations between the metastability variate and the non-imaging features were observed for higher-order cognitive ability and indicators of physical well-being. The intra-class correlation coefficient between the sibling pairs in the sample was very low which argues against a significant familial influence on RSN metastability.
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